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Data and Applications Security XXII

Data and Applications Security XXII
Author: Vijay Atluri
Publisher: Springer
Total Pages: 356
Release: 2008-07-16
Genre: Computers
ISBN: 3540705678

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This volume contains the papers presented at the 22nd Annual IFIP WG 11.3 Working Conference on Data and Applications Security (DBSEC) held in L- don, UK, July 13–16, 2008. This year’s working conference continued its tra- tion of being a forum for disseminating original research results and practical experiences in data and applications security. This year we had an excellent program that consists of 9 research paper s- sions with 22 high-quality research papers, which were selected from a total of 56 submissions after a rigorous reviewing process by the Program Committee members and external reviewers. These sessions included such topics as access control, privacy, auditing, systems security and data security in advanced app- cation domains. In addition, the programincluded a keynote address, an invited talk and a panel session. The success of this conference was a result of the e?orts of many people. I would like to extend my appreciation to the Program Committee members and external reviewers for their hard work. I would like to thank the General Chair, SteveBarker,fortakingcareoftheorganizationaspectsoftheconferenceandfor arranging the keynote address and the panel session. I would also like to thank Claudio Ardagna for serving as the Publicity Chair and for promptly updating the conference Web page, and Don Lokuadassuriyage for serving as the Local Arrangements Chair. Special thanks go to Alfred Hofmann, Editorial Director at Springer, for agreeing to include these conference proceedings in the Lecture Notes in Computer Science series.


Transactions on Large-Scale Data- and Knowledge-Centered Systems XXII

Transactions on Large-Scale Data- and Knowledge-Centered Systems XXII
Author: Abdelkader Hameurlain
Publisher: Springer
Total Pages: 192
Release: 2015-11-07
Genre: Computers
ISBN: 3662485672

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The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the 22nd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains six revised selected regular papers. Topics covered include algorithms for large-scale private analysis, modelling of entities from social and digital worlds and their relations, querying virtual security views of XML data, recommendation approaches using diversity-based clustering scores, hypothesis discovery, and data aggregation techniques in sensor netwo rk environments.


Data Mining and Big Data

Data Mining and Big Data
Author: Ying Tan
Publisher: Springer Nature
Total Pages: 519
Release: 2021-10-29
Genre: Computers
ISBN: 9811675023

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​This two-volume set, CCIS 1453 and CCIS 1454, constitutes refereed proceedings of the 6th International Conference on Data Mining and Big Data, DMBD 2021, held in Guangzhou, China, in October 2021. The 57 full papers and 28 short papers presented in this two-volume set were carefully reviewed and selected from 258 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc.


Data and Applications Security XXII

Data and Applications Security XXII
Author: Vijay Atluri
Publisher: Springer Science & Business Media
Total Pages: 356
Release: 2008-07
Genre: Business & Economics
ISBN: 354070566X

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This book constitutes the refereed proceedings of the 22nd Annual IFIP WG 11.3 Working Conference on Data and Applications Security held in London, UK, in July 2008. The 22 revised full papers presented together with 1 keynote lecture and 1 invited talk were carefully reviewed and selected from 56 submissions. The papers are organized in topical sections on access control, audit and logging, privacy, systems security, certificate management, trusted computing platforms, security policies and metrics, as well as Web and pervasive systems.


Data and Applications Security and Privacy XXXVI

Data and Applications Security and Privacy XXXVI
Author: Shamik Sural
Publisher: Springer Nature
Total Pages: 330
Release: 2022-07-12
Genre: Computers
ISBN: 3031106849

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This book constitutes the refereed proceedings of the 36th Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy, DBSec 2022, held in Newark, NJ, USA, in July 2022. The 12 full papers and 6 short papers presented were carefully reviewed and selected from 33 submissions. The conference covers research in data and applications security and privacy.


Data and Applications Security XVII

Data and Applications Security XVII
Author: Sabrina De Capitani di Vimercati
Publisher: Springer
Total Pages: 415
Release: 2006-04-11
Genre: Computers
ISBN: 1402080700

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Security and privacy are paramount concerns in information processing systems, which are vital to business, government and military operations and, indeed, society itself. Meanwhile, the expansion of the Internet and its convergence with telecommunication networks are providing incredible connectivity, myriad applications and, of course, new threats. Data and Applications Security XVII: Status and Prospects describes original research results, practical experiences and innovative ideas, all focused on maintaining security and privacy in information processing systems and applications that pervade cyberspace. The areas of coverage include: -Information Warfare, -Information Assurance, -Security and Privacy, -Authorization and Access Control in Distributed Systems, -Security Technologies for the Internet, -Access Control Models and Technologies, -Digital Forensics. This book is the seventeenth volume in the series produced by the International Federation for Information Processing (IFIP) Working Group 11.3 on Data and Applications Security. It presents a selection of twenty-six updated and edited papers from the Seventeenth Annual IFIP TC11 / WG11.3 Working Conference on Data and Applications Security held at Estes Park, Colorado, USA in August 2003, together with a report on the conference keynote speech and a summary of the conference panel. The contents demonstrate the richness and vitality of the discipline, and other directions for future research in data and applications security. Data and Applications Security XVII: Status and Prospects is an invaluable resource for information assurance researchers, faculty members and graduate students, as well as for individuals engaged in research and development in the information technology sector.


Privacy and Security Issues in Big Data

Privacy and Security Issues in Big Data
Author: Pradip Kumar Das
Publisher: Springer Nature
Total Pages: 219
Release: 2021-04-23
Genre: Computers
ISBN: 981161007X

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This book focuses on privacy and security concerns in big data and differentiates between privacy and security and privacy requirements in big data. It focuses on the results obtained after applying a systematic mapping study and implementation of security in the big data for utilizing in business under the establishment of “Business Intelligence”. The chapters start with the definition of big data, discussions why security is used in business infrastructure and how the security can be improved. In this book, some of the data security and data protection techniques are focused and it presents the challenges and suggestions to meet the requirements of computing, communication and storage capabilities for data mining and analytics applications with large aggregate data in business.


Database and Applications Security

Database and Applications Security
Author: Bhavani Thuraisingham
Publisher: CRC Press
Total Pages: 656
Release: 2005-05-26
Genre: Computers
ISBN: 1135489106

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This is the first book to provide an in-depth coverage of all the developments, issues and challenges in secure databases and applications. It provides directions for data and application security, including securing emerging applications such as bioinformatics, stream information processing and peer-to-peer computing. Divided into eight sections,


Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications

Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications
Author: Tran Khanh Dang
Publisher: Springer Nature
Total Pages: 621
Release: 2023-11-17
Genre: Computers
ISBN: 9819982960

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This book constitutes the proceedings of the 10th International Conference on Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, FDSE 2023, held in Da Nang, Vietnam, during November 22–24, 2023. The 38 full papers and 8 short papers were carefully reviewed and selected from 135 submissions. They were organized in topical sections as follows: big data analytics and distributed systems; security and privacy engineering; machine learning and artificial intelligence for security and privacy; smart city and industry 4.0 applications; data analytics and healthcare systems; and short papers: security and data engineering.